Traffic accident detection method, storage medium and equipment

A traffic accident and detection method technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as the inability to meet the needs of large-scale traffic monitoring network efficiency and cost, and the poor stability of traffic monitoring accident investigation methods.

Pending Publication Date: 2021-03-12
PENG CHENG LAB
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a traffic accident detection method, storage medium and equipment for the deficiencies of the prior art, aiming to solve the poor stability of the traditional traffic monitoring accident investigation method and the inability to meet the large-scale traffic monitoring network application The question of the need for efficiency and cost

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  • Traffic accident detection method, storage medium and equipment
  • Traffic accident detection method, storage medium and equipment
  • Traffic accident detection method, storage medium and equipment

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Embodiment Construction

[0062] The present invention provides a traffic accident detection method, storage medium and equipment. In order to make the purpose, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0063] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, component...

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Abstract

The invention discloses a traffic accident detection method, a storage medium and equipment, and the method comprises the steps: carrying out the preprocessing of screened traffic data, and constructing a traffic accident data set; regarding each original video sample in the traffic accident data set as a packet, and performing space-time domain segmentation on each packet to obtain a plurality ofinstances corresponding to each packet; constructing an accident detection model according to the weak label attribute of the traffic accident data set, and training the accident detection model based on the plurality of instances corresponding to each packet to obtain a trained accident detection model; and carrying out end-to-end traffic accident detection on a test video according to the trained accident detection model. The method provided by the invention can effectively improve the traffic accident detection rate and reduce the false alarm rate.

Description

technical field [0001] The invention relates to the field of traffic accident detection, in particular to a traffic accident detection method, storage medium and equipment. Background technique [0002] In recent years, with the substantial increase in the number of motor vehicles owned by residents, the urban traffic environment has become increasingly complex, and the incidence of traffic accidents has remained high. Traffic accidents will not only cause traffic jams, personal and public property losses, but even endanger life safety, and bring serious physical and psychological trauma to people. With the development and application of video surveillance technology, more and more road surveillance cameras are installed in many cities to monitor road traffic status and parameters, so as to strengthen the supervision of urban traffic and deal with traffic accidents in a timely manner. [0003] The traditional method of troubleshooting traffic monitoring accidents is manual ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/49G06V20/54G06V2201/07G06N3/048G06N3/045G06F18/25G06F18/259G06F18/214
Inventor 白鑫贝杨泽华王耀威徐勇郑伟诗
Owner PENG CHENG LAB
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